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Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on guest's web all active on filter on
Trends from SDB's sample ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
1806 61.6 7 19 26.9 The Pirates are 7-19-1 against since Aug 07, 2016 at home
1792 45.9 15 23 39.5 The Pirates are 15-23-1 against since Jun 03, 2016 as a home favorite
1598 30.5 16 27 37.2 The Pirates are 16-27-1 against since Aug 19, 2016
719 35.5 2 10 16.7 The Pirates are 2-10 against since Aug 29, 2016 as a dog
517 29.6 10 4 71.4 The Pirates are 10-4 on since Aug 25, 2016 as a road favorite

Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins

How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
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Content for this site is generated using the Sports Data Query Language (SDQL).